Job Closed
This listing is no longer active.
The leading provider of supplier diversity solutions. 1 in 5 Fortune 50 companies relies on supplier.io.
Senior Data Engineer
Location
United States
Posted
94 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer
Supplier.io
• Execute our cohesive data strategy that aligns with company objectives. • Lead the design, development, and evolution of Supplier.io data architecture, ensuring scalability, reliability, performance and security. • Execute and influence a cohesive data strategy that aligns with company objectives and supports analytics, reporting, and downstream product use cases. • Design, build, and maintain robust, cloud-native data pipelines and data warehouses, with Snowflake as a core component of the platform. • Own complex data modeling initiatives, including dimensional and analytical models that support business intelligence and advance analytics. • Evaluate, introduce, and integrate new tools, technologies, and methodologies, while aligning legacy counterparts for improved data ingestion, transformation, storage, and processing. • Drive continuous improvement by optimizing data pipelines, query performance, reliability, observability, and cost efficiency. • Partner with Infrastructure, Product, Analytics, and Engineering teams to ensure data systems meet best practices, security standards, and business needs. • Provide technical leadership and mentorship to other data engineers, contributing to code reviews, design discussions, and engineering standards. • Create and maintain comprehensive technical documentation, including architecture diagrams, data flow maps, runbooks, security considerations, and operations procedures. • Participate in agile planning and executive, contributing to estimation, prioritization, and delivery of high-impact data initiatives. • Troubleshoot and resolve complex, cross-system data issues and incidents.
Job Requirements
- Bachelor of Computer Science, Management Information System, Engineering, Data Science, or related field.
- 7+ years of progressive experience in data engineering with demonstrated ownership of complex data systems in production environments.
- At least 2 years in a senior or lead capacity preferred.
- Advanced experience designing, building, and supporting Snowflake based solutions at scale.
- Proven experience architecting and implementing large-scale data solutions (i.e. Azure, AWS, GCP, or multi-cloud environments).
- Strong expertise in data modeling, ETL/ELT processes, and modern data warehousing principles.
- Advanced proficiency with Snowflake, Python and SQL, building reliable, testable data pipelines.
- Strong experience with big data technologies, orchestration frameworks, and data pipeline tools. (i.e. Airflow, dbt, Spark, or similar)
- Experience working in an agile development environment and collaborating through ticketing systems such as Jira and Azure DevOps.
- Ability to communicate technical concepts clearly to technical and non-technical teams and influence decision-making.
- Strong problem-solving skills with the ability to troubleshoot and resolve ambiguous, high-impact issues.
- A results-oriented mindset with a demonstrated history of driving process improvements and technical excellence.
- Ability to work independently while also serving as a trusted technical partner and mentor to others along.
- Ability to take vague requirements and turn them into technical roadmaps.
Benefits
- Health insurance
- Retirement plans
- Paid time off
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Senior Enterprise Data Architect – Biotechnology
Truelogic SoftwarePremium boutique software development company that helps brands with big ideas to make a difference in people’s lives.
• Establish and govern the enterprise data architecture across core platforms, including CRM, HUB, ERP, RIM, CTMS, QMS, and AWS, ensuring a unified and scalable data foundation. • Define and maintain the canonical enterprise data model, including a standardized data dictionary and shared business definitions to ensure consistency across systems and reporting. • Architect scalable AWS data lake and data warehouse structures aligned with commercialization, analytics, and enterprise reporting needs. • Define, document, and enforce enterprise integration standards, including API, ETL/ELT, and event-driven patterns to ensure consistent, reliable data movement across systems. • Implement and evolve master data governance standards, establishing data domains, stewardship, and an ownership framework across cross-functional teams. • Ensure data lineage, traceability, and documentation meet regulatory expectations and support SOX controls and IPO readiness initiatives. • Provide data architecture oversight for system selection and implementation, partnering with vendors and internal teams to align solutions with the target-state architecture. • Partner with stakeholders across IT, Commercial, Regulatory, Clinical, and Finance to prevent siloed implementations, improve data quality, and enable trusted enterprise reporting.
Senior Enterprise Data Architect - Biotechnology
Truelogic SoftwarePremium boutique software development company that helps brands with big ideas to make a difference in people’s lives.
• Establish and govern the enterprise data architecture across core platforms, including CRM, HUB, ERP, RIM, CTMS, QMS, and AWS, ensuring a unified and scalable data foundation. • Define and maintain the canonical enterprise data model, including a standardized data dictionary and shared business definitions to ensure consistency across systems and reporting. • Architect scalable AWS data lake and data warehouse structures aligned with commercialization, analytics, and enterprise reporting needs. • Define, document, and enforce enterprise integration standards, including API, ETL/ELT, and event-driven patterns to ensure consistent, reliable data movement across systems. • Implement and evolve master data governance standards, establishing data domains, stewardship, and an ownership framework across cross-functional teams. • Ensure data lineage, traceability, and documentation meet regulatory expectations and support SOX controls and IPO readiness initiatives. • Provide data architecture oversight for system selection and implementation, partnering with vendors and internal teams to align solutions with the target-state architecture. • Partner with stakeholders across IT, Commercial, Regulatory, Clinical, and Finance to prevent siloed implementations, improve data quality, and enable trusted enterprise reporting.
Senior Enterprise Data Architect – Biotechnology
Truelogic SoftwarePremium boutique software development company that helps brands with big ideas to make a difference in people’s lives.
• Establish and govern the enterprise data architecture across core platforms, including CRM, HUB, ERP, RIM, CTMS, QMS, and AWS, ensuring a unified and scalable data foundation. • Define and maintain the canonical enterprise data model, including a standardized data dictionary and shared business definitions to ensure consistency across systems and reporting. • Architect scalable AWS data lake and data warehouse structures aligned with commercialization, analytics, and enterprise reporting needs. • Define, document, and enforce enterprise integration standards, including API, ETL/ELT, and event-driven patterns to ensure consistent, reliable data movement across systems. • Implement and evolve master data governance standards, establishing data domains, stewardship, and an ownership framework across cross-functional teams. • Ensure data lineage, traceability, and documentation meet regulatory expectations and support SOX controls and IPO readiness initiatives. • Provide data architecture oversight for system selection and implementation, partnering with vendors and internal teams to align solutions with the target-state architecture. • Partner with stakeholders across IT, Commercial, Regulatory, Clinical, and Finance to prevent siloed implementations, improve data quality, and enable trusted enterprise reporting.
Senior Enterprise Data Architect – Biotechnology
Truelogic SoftwarePremium boutique software development company that helps brands with big ideas to make a difference in people’s lives.
• Establish and govern the enterprise data architecture across core platforms, including CRM, HUB, ERP, RIM, CTMS, QMS, and AWS, ensuring a unified and scalable data foundation. • Define and maintain the canonical enterprise data model, including a standardized data dictionary and shared business definitions to ensure consistency across systems and reporting. • Architect scalable AWS data lake and data warehouse structures aligned with commercialization, analytics, and enterprise reporting needs. • Define, document, and enforce enterprise integration standards, including API, ETL/ELT, and event-driven patterns to ensure consistent, reliable data movement across systems. • Implement and evolve master data governance standards, establishing data domains, stewardship, and an ownership framework across cross-functional teams. • Ensure data lineage, traceability, and documentation meet regulatory expectations and support SOX controls and IPO readiness initiatives. • Provide data architecture oversight for system selection and implementation, partnering with vendors and internal teams to align solutions with the target-state architecture. • Partner with stakeholders across IT, Commercial, Regulatory, Clinical, and Finance to prevent siloed implementations, improve data quality, and enable trusted enterprise reporting.
